AI use case 01
Route and load optimization
- Problem
- Delivery costs are rising and fleets are under-used.
- AI solution
- Route optimization and demand forecasting connected to the driver app.
Outcome Lower fuel cost per drop and more on-time deliveries.
AI for Logistics & Supply Chain
AI for logistics and supply chain, from route to customs
Optimization models and document AI that lower cost per drop and remove manual re-keying from trade paperwork.
8steps from first idea to production
8–12weeks to a working pilot
4–8week AI strategy phase
1sentence is enough to start
About the industry
What AI means for Thai logistics and supply chain
Thailand is a regional trade hub, so logistics teams juggle rising delivery costs, strict customs paperwork, and customers who expect to know where their shipment is. Much of the work is still re-keying the same data between invoices, packing lists, permits, and systems.
In practice, AI in logistics is optimisation for routes and loads, document AI that reads trade paperwork once, and predictive models that warn about late shipments. They connect to your TMS and WMS, and people verify anything that goes to customs.
- 01Routing
Route and load optimisation with live demand
- 02Trade documents
Document AI for invoices, packing lists, and permits
- 03Visibility
Predictive ETAs and exception alerts
- 04Warehouse and fleet
Utilisation and maintenance analytics
AI in action
See how the AI system works
Your data goes in, a model reads it, and a decision comes out with a record your team can audit.
- Orders and documents inShipments, invoices, packing lists, permits, TMS and WMS data
- AI modelsOptimisation solvers, document AI, predictive ETA models
- Decision outPlan a route, pre-fill a declaration, or alert before a delay
ai-engine · event streamillustrative sample
- 001PL-7702 · packing-list weight differs from the invoice · held for a person to check
- 002INV-7701 · invoice read · HS code verified · declaration pre-filled
- 003route-310 · drops re-sequenced after a traffic change · driver app updated
- 004eta-1204 · shipment likely late · customer notified with a new estimate
- 005PMT-7703 · permit fields extracted · matched to the consignment
Why AI, why now
Where AI changes the economics
01
Delivery costs keep rising
Fuel and driver costs make every wasted kilometre expensive. Optimization finds the savings.
02
Trade paperwork is re-keyed by hand
Invoices, packing lists, and permits are copied across systems. Document AI reads them once.
03
Visibility gaps cause late deliveries
Predictive ETAs and exception alerts let teams act before customers notice.
How we help
AI consulting for Logistics & Supply Chain
We are consultants first. We help you decide where AI cuts cost per drop and manual paperwork before any model is built, and how to deploy it alongside your dispatchers and customs team.
AI opportunity assessment
Trace cost per drop, delays, and manual document hours to find the AI candidates worth funding.
Data and TMS readiness
Review TMS, WMS, telematics, and document sources, and what must be connected or cleaned first.
Business case and prioritisation
Rank use cases by cost saved, on-time gains, and time to value.
Controls, security, and governance
Human check before customs submission, role-based access, and in-country hosting design.
Pilot and dispatcher enablement
Pilot on one lane or document type, train teams, and agree the KPIs that decide scale-up.
How we work
From one sentence to a running system
Eight steps. You can stop after any of them and keep what we produced.
- 01Discover
Describe your challenge
One sentence in the builder, or a call.
- 02Discover
Get a first blueprint
Architecture, stack, timeline, budget range.
- 03Discover
Discovery meeting
30 minutes online with a senior consultant.
- 04Design
Technical workshop
Data, systems, and constraints, on site or online.
- 05Design
Solution architecture
A design your IT and security teams can sign off.
- 06Design
Proposal & commercials
Fixed scope, milestones, and price in THB or USD.
- 07Deliver
Build & deploy
Pilot in weeks, then production rollout.
- 08Deliver
Run, license & expand
Support, model monitoring, and new use cases.
What we build
AI solutions for Logistics & Supply Chain
ROAD BLOCKED
Route and load optimization
Routing and demand forecasting connected to the driver app.
The problem
Delivery costs keep rising, fleets are under-used, and one blocked road breaks the day's plan.
What you get
- Routes planned with capacity, time windows, and live traffic
- Automatic re-planning when something changes
- A driver app with updated stops and ETAs
- Dispatcher override on every suggestion
How it works
- InputOrders and constraintsStops, time windows, vehicle capacity, live traffic
- AIOptimisation engineBuilds routes and loads, and re-plans on events
- OutputDriver planUpdated route in the driver app; dispatcher can override
Customs and trade document automation
Document AI reads invoices, packing lists, and permits and pre-fills customs declarations.
The problem
Import and export paperwork is re-keyed by hand across systems, and mismatches are found late.
What you get
- Invoices, packing lists, and permits read once
- Cross-checks between documents
- Pre-filled declarations for a person to verify
- An exception queue with the reason for every hold
How it works
- InputTrade documentsInvoices, packing lists, permits, bills of lading
- AIDocument AIExtracts fields and cross-checks them against each other
- OutputPre-filled declarationA person verifies; mismatches are held with the reason
Predictive ETA and exception alerts
Models that flag shipments likely to be late, with recommended actions.
The problem
Customers find out about delays before you tell them, and teams react instead of recovering.
What you get
- ETAs that update with traffic and dwell time
- Late-shipment alerts before the customer asks
- Suggested recovery actions
- Customer notifications by LINE or email
How it works
- InputShipment and traffic dataScans, telematics, traffic, dwell times
- AIETA modelPredicts arrival and flags shipments likely to miss it
- OutputAlert and actionSuggested recovery and a customer notice by LINE or email
Warehouse and fleet analytics
Utilisation, dwell time, and maintenance insights in one dashboard.
The problem
Bottlenecks and idle assets hide in separate systems until they cost a customer.
What you get
- Dwell, utilisation, and throughput in one view
- Maintenance reminders from telematics
- Bottleneck alerts as they form
- A weekly improvement list for managers
How it works
- InputOperational dataWMS events, dock times, telematics, maintenance logs
- AIAnalytics modelsDetect dwell, low utilisation, and service needs
- OutputExceptions and insightsA live exception list and a weekly improvement list
AI use cases
Proven problems, practical AI
AI use case 02
Customs and trade document automation
- Problem
- Import and export paperwork is re-keyed by hand across systems.
- AI solution
- Document AI reads invoices, packing lists, and permits and pre-fills customs declarations.
Outcome Less manual data entry and faster clearance.
Outcomes describe what each solution is designed to improve. Figures appear only where they come from a delivered project. Results depend on your data, systems, and scope.
Responsible AI
Governed from day one
- Human review of every customs declaration before submission
- Data hosted in-country with role-based access
- Explainable route changes dispatchers can override
Technology we use
- Optimization solvers
- Document AI
- TMS and WMS connectors
- Driver app integration
Where your data lives
- Orders, documents, and telematicsTMS, WMS, scans, and driver apps
- In-country AI platformOptimisation and document AI hosted in Thailand
- Dispatch and customs desksPlans and declarations verified by your team
FAQ
AI for Logistics & Supply Chain: common questions
How is AI route optimization different from our current routing?
It re-plans with live demand, capacity, and traffic, and learns from actual delivery outcomes instead of fixed rules.
Can AI really read customs documents?
Yes. Document AI extracts fields from invoices, packing lists, and permits and pre-fills declarations for a person to verify.
Does it integrate with our TMS?
We connect through your TMS or WMS APIs or file exports, confirmed in the readiness check.
Other industries
AI across every sector
AI for Logistics & Supply Chain
Start with one AI pilot.
Eight to twelve weeks.A measurable target on your own data.